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“推拉”型Schiff碱染料LB膜二阶非线性光学性质的研究

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高等学校化学学报 2001年第4期22卷 648-650页

作者： li fu-you 李富友刘汀汀赵朝阳金林培赵新生郭建权 Department of Chemistry Beijing Normal University 北京师范大学化学系北京大学化学系

A series of amphiphilic azo-methine dyes with different relative positions of electron-accepting groups, (E)-N-octadecyl-2-［2-(4-N,N-dimethylaminophenyl)azomethinyl］quinolinium iodide(QN2), (E)-N-octadecyl-4-［2-(4-N,N-dimethylaminophenyl)azomethinyl］quinolinium iodide(QN4) and (E)-N-octadecyl-6-［2-(4-N,N-dimethylaminophenyl)azomethinyl］ quinolinium iodide(QN6) were synthesized. These dye molecules were successfully transferred onto quartz by Langmiur-Blodgett(LB) technique. We studied the second-harmonic generation(SHG) of their monolayers and found that the effect of relative position of acceptor group on SHG can not be negligible.

关键词： LB膜二阶非线性光学性质西佛碱染料

Trace formula of the integro-differential operator on a quantum graph

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Applied Mathematics(A Journal of Chinese Universities) 2024年第2期39卷 311-318页

作者： WEI li-xiao YANG Chuan-fu School of Mathematics and Statistics Nanjing University of Science and TechnologyNanjing 210094China.

In this paper we study the eigenvalue problem for integro-differential operators on a lasso *** trace formula of the operator is established by applying the residual technique in complex analysis.

关键词： integro-differential operators eigenvalue trace formula

Decoupled deep hough voting for point cloud registration

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Frontiers of Computer Science 2024年第2期18卷 147-155页

作者： Mingzhi YUAN Kexue fu Zhihao li Manning WANG Digital Medical Research Center School of Basic Medical SciencesFudan UniversityShanghai 200032China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention Shanghai 200032China

Estimating rigid transformation using noisy correspondences is critical to feature-based point cloud ***,a series of studies have attempted to combine traditional robust model fitting with deep *** them,DHVR proposed a hough voting-based method,achieving new state-of-the-art ***,we find voting on rotation and translation simultaneously hinders achieving better ***,we proposed a new hough voting-based method,which decouples rotation and translation ***,we first utilize hough voting and a neural network to estimate *** based on good initialization on rotation,we can easily obtain accurate rigid *** experiments on 3DMatch and 3DLoMatch datasets show that our method achieves comparable performances over the state-of-the-art *** further demonstrate the generalization of our method by experimenting on KITTI dataset.

关键词： point cloud registration robust model fitting deep learning hough voting

A semantic segmentation-based underwater acoustic image transmission framework for cooperative SLAM

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Defence Technology（防务技术） 2024年第3期33卷 339-351页

作者： Jiaxu li Guangyao Han Shuai Chang Xiaomei fu School of Marine Science and Technology Tianjin UniversityTianjin 300072China

With the development of underwater sonar detection technology,simultaneous localization and mapping(SLAM)approach has attracted much attention in underwater navigation field in recent *** the weak detection ability of a single vehicle limits the SLAM performance in wide ***,cooperative SLAM using multiple vehicles has become an important research *** key factor of cooperative SLAM is timely and efficient sonar image transmission among underwater ***,the limited bandwidth of underwater acoustic channels contradicts a large amount of sonar image *** is essential to compress the images before ***,deep neural networks have great value in image compression by virtue of the powerful learning ability of neural networks,but the existing sonar image compression methods based on neural network usually focus on the pixel-level information without the semantic-level *** this paper,we propose a novel underwater acoustic transmission scheme called UAT-SSIC that includes semantic segmentation-based sonar image compression(SSIC)framework and the joint source-channel codec,to improve the accuracy of the semantic information of the reconstructed sonar image at the *** SSIC framework consists of Auto-Encoder structure-based sonar image compression network,which is measured by a semantic segmentation network's *** that sonar images have the characteristics of blurred target edges,the semantic segmentation network used a special dilated convolution neural network(DiCNN)to enhance segmentation accuracy by expanding the range of receptive *** joint source-channel codec with unequal error protection is proposed that adjusts the power level of the transmitted data,which deal with sonar image transmission error caused by the serious underwater acoustic *** results demonstrate that our method preserves more semantic information,with advantages over existing methods at the sa

关键词： Semantic segmentation Sonar image transmission Learning-based compression

Advanced Design of Soft Robots with Artificial Intelligence

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Nano-Micro Letters 2024年第10期16卷 474-521页

作者： Ying Cao Bingang Xu Bin li Hong fu Nanotechnology Center School of Fashion and TextilesThe Hong Kong Polytechnic UniversityHong Kong 999077People's Republic of China Department of Mathematics and Information Technology The Education University of Hong KongHong Kong 999077People's Republic of China Bioinspired Engineering and Biomechanics Center Xi'an Jiaotong UniversityXi'an 710049People's Republic of China

In recent years,breakthrough has been made in the field of artificial intelligence(AI),which has also revolutionized the industry of *** robots featured with high-level safety,less weight,lower power consumption have always been one of the research ***,multifunctional sensors for perception of soft robotics have been rapidly developed,while more algorithms and models of machine learning with high accuracy have been optimized and *** of soft robots with AI have also been advanced ranging from multimodal sensing,human-machine interaction to effective actuation in robotic ***-less,comprehensive reviews concerning the new developments and strategies for the ingenious design of the soft robotic systems equipped with AI are ***,the new development is systematically reviewed in the field of soft robots with ***,background and mechanisms of soft robotic systems are briefed,after which development focused on how to endow the soft robots with AI,including the aspects of feeling,thought and reaction,is ***,applications of soft robots with AI are systematically summarized and discussed together with advanced strategies proposed for performance *** thoughts for future intelligent soft robotics are pointed ***,some perspectives are put forward.

关键词： Soft robotic systems Artificial intelligence Design tactics Review and perspective

MADDPG-D2: An Intelligent Dynamic Task Allocation Algorithm Based on Multi-Agent Architecture Driven by Prior Knowledge

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2559-2586页

作者： Tengda li Gang Wang Qiang fu College of Air and Missile Defense Air Force Engineering UniversityXi’an710051China

Aiming at the problems of low solution accuracy and high decision pressure when facing large-scale dynamic task allocation(DTA)and high-dimensional decision space with single agent,this paper combines the deep reinforce-ment learning(DRL)theory and an improved Multi-Agent Deep Deterministic Policy Gradient(MADDPG-D2)algorithm with a dual experience replay pool and a dual noise based on multi-agent architecture is proposed to improve the efficiency of *** algorithm is based on the traditional Multi-Agent Deep Deterministic Policy Gradient(MADDPG)algorithm,and considers the introduction of a double noise mechanism to increase the action exploration space in the early stage of the algorithm,and the introduction of a double experience pool to improve the data utilization rate;at the same time,in order to accelerate the training speed and efficiency of the agents,and to solve the cold-start problem of the training,the a priori knowledge technology is applied to the training of the ***,the MADDPG-D2 algorithm is compared and analyzed based on the digital battlefield of ground and air *** experimental results show that the agents trained by the MADDPG-D2 algorithm have higher win rates and average rewards,can utilize the resources more reasonably,and better solve the problem of the traditional single agent algorithms facing the difficulty of solving the problem in the high-dimensional decision *** MADDPG-D2 algorithm based on multi-agent architecture proposed in this paper has certain superiority and rationality in DTA.

关键词： Deep reinforcement learning dynamic task allocation intelligent decision-making multi-agent system MADDPG-D2 algorithm

用于生物成像的三线态-三线态湮灭上转换发光纳米胶囊

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无机化学学报 2020年第10期36卷 1934-1940页

作者：李振华袁薇李富友复旦大学化学系上海200433

为解决三线态-三线态湮灭上转换发光材料(TTA-UC)生物应用时固载化困难的问题,通过一步细乳液聚合法合成了以正十六烷为内核,以红光激发的硅酞菁为敏化剂和发光高效的红荧烯为受体,具有优异上转换发光性能的核壳结构纳米胶囊(TTA-UCNP)... 详细信息

为解决三线态-三线态湮灭上转换发光材料(TTA-UC)生物应用时固载化困难的问题,通过一步细乳液聚合法合成了以正十六烷为内核,以红光激发的硅酞菁为敏化剂和发光高效的红荧烯为受体,具有优异上转换发光性能的核壳结构纳米胶囊(TTA-UCNP)。TTA-UCNP粒径约为190 nm,均一性及分散性良好。体系引入了抗氧化剂D-柠檬烯和聚异丁烯,有效消除了氧气分子对上转换发光过程的淬灭,保证了上转换发光的稳定性。在动物成像应用中,TTA-UCNP成功实现了活体层次前哨淋巴结高信噪比的成像及长时间示踪。

关键词：上转换发光生物成像三线态-三线态湮灭细乳液聚合法

Establishment and Application of a Radiation Dose Rate Model for Nuclear Medicine Examinees

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China CDC weekly 2024年第23期6卷 553-557,I0019-I0025页

作者： Yuehua Hu Xinyu He Wenjia Zhao lixin Ding Meiying you Zihan li Xinyu liu Miaomiao Wang Siyi Chen Ziwei Lu Lei Qu Kuke Ding li Zhang Qiuxian fu Office of Epidemiology Chinese Center for Disease Control and PreventionBeijingChina Department of Oncology Central Hospital Affiliated to Shandong First Medical UniversityJinan CityShandong ProvinceChina National Institute for Radiological Protection Chinese Center for Disease Control and PreventionBeijingChina National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijingChina Laboratory Animal Center Chinese Center for Disease Control and PreventionBeijingChina National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionShanghaiChina Office of Public Health Management Chinese Center for Disease Control and PreventionBeijingChina Hainan Medical University Haikou CityHainan ProvinceChina

Introduction:Traditional methods for determining radiation dose in nuclear medicine include the Monte Carlo method,the discrete ordinate method,and the point kernel integration *** study presents a new mathematical model for predicting the radiation dose rate in the vicinity of nuclear medicine ***:A new algorithm was created by combining the physical model of“cylinder superposition”of the human body with integral analysis to assess the radiation dose rate in the vicinity of nuclear medicine ***:The model accurately predicted radiation dose rates within distances of 0.1–3.0 m,with a deviation of less than 11%compared to observed *** model demonstrated greater accuracy at shorter distances from the radiation source,with a deviation of only 1.55%from observed values at 0.1 ***:The model proposed in this study effectively represents the spatial and temporal distribution of the radiation field around nuclear medicine patients and demonstrates good agreement with actual *** model has the potential to serve as a radiation dose rate alert system in hospital environments.

关键词： method. deviation cylinder

Combining genome-wide association study and transcriptome analysis to identify molecular markers and genetic basis of population-asynchronous ovarian development in Coilia nasus

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Zoological Research 2024年第3期45卷 491-505页

作者： Yue Yu Shi-Ming Wan Cheng-you Huang Shuang-Meng Zhang Ai-li Sun Jun-Qi liu Shun-Yao li Yong-fu Zhu Shu-Xin Gu Ze-Xia Gao College of Fisheries Hubei Hongshan Laboratory/Key Lab of Freshwater Animal BreedingMinistry of Agriculture and Rural Affairs/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic BeltMinistry of EducationHuazhong Agricultural UniversityWuhanHubei 430070China Laboratory for Marine Biology and Biotechnology Qingdao Marine Science and Technology CenterQingdaoShandong 266237China Wuhan Hengyuxin Technology Breeding Professional Cooperative WuhanHubei 430117China Hubei Provincial Aquatic Science Research Institute WuhanHubei 430208China Zhenjiang Jiangzhiyuan Fishery Technology Co. Ltd.ZhenjiangJiangsu 212213China

Coilia nasus,a migratory fish species found in the middle and lower reaches of the Yangtze River and along offshore areas of China,possesses considerable aquacultural and economic ***,the species faces challenges due to significant variation in the gonadal development rate among females,resulting in inconsistent ovarian maturation times at the population level,an extended reproductive period,and limitations on fish growth rate due to ovarian *** the present study,we combined genome-wide association study(GWAS)and comparative transcriptome analysis to investigate the potential single nucleotide polymorphisms(SNPs)and candidate genes associated with population-asynchronous ovarian development in *** of the female population based on whole-genome resequencing yielded 2120695 high-quality SNPs,39 of which were suggestively associated with ovarian *** note,a significant SNP peak on LG21 containing 30 suggestively associated SNPs was identified,with cpne5a determined as the causal gene of the ***,single-marker and haplotype association analyses were performed on cpne5a,revealing four genetic markers(P0.9)significantly associated with the *** transcriptome analysis of precociously and normally maturing individuals screened out 29 and 426 overlapping differentially expressed genes in the brain and ovary,respectively,between individuals of different body *** the GWAS and transcriptome analysis results,this study identified genes and pathways related to hypothalamic-pituitary-gonadal axis hormone secretion,extracellular matrix,angiogenesis,and gap junctions involved in population-asynchronous ovarian *** insights gained from this study provide a basis for a deeper understanding of the molecular mechanisms underlying ovarian development in fish and may facilitate the genetic breeding of *** strains exhibiting population-synchronous ovarian

关键词： Coilia nasus GWAS Transcriptome Ovarian development SNP